NAME

       mJPEG - Convert FITS images or mosaics into grayscale or color JPEG images

SYNOPSIS

       mJPEG [-d] [-t power] [-s statusfile] [-ct color-table]

       [-gray in.fits minrange maxrange [logpower/gaussian]

       [-red red.fits rminrange rmaxrange [rlogpower/gaussian]

       [-green green.fits gminrange gmaxrange [glogpower/gaussian]

       [-blue blue.fits bminrange bmaxrange [blogpower/gaussian]

       -out out.jpg

DESCRIPTION

       Generates  a  JPEG image file from a FITS file (or a set of three FITS files in color).  A data range for
       each image can be defined, and the data can be stretched by any power of the  log()  function  (including
       zero: linear).  Pseudo-color color tables can be applied in single-image mode.

       Note:  If  creating  a  true  color image, all input images must have identical WCS information (ie, same
       size, resolution, coordinate system, etc).

OPTIONS

       -d     Print out additional debugging information

       -t power
              Increasing the value of power will enhance the contrast between colors; useful when all pixels are
              close to white, but you wish to accentuate the color difference.

       -s statusfile
              Write output and errors to statusfile instead of stdout

       -ct color-table
              Choose a color table for pseudo-color images; color-table can be an  integer  between  0  and  11.
              Click here for samples of each color table.

ARGUMENTS

       mJPEG  takes  as arguments a list of FITS images to be used as input for the true- or pseudo-color image.
       To create a pseudo-color image from a single FITS file, use the -gray flag; to create a true-color image,
       use the -red, -green, and -blue flags together.  The syntax for each is the same:

       -color Provide the image name and stretch information to be  used  for  color  (one  of:  "gray",  "red",
              "green", "blue")

       color.fits
              Filename  of  input  image  for this color.  Can use a specific FITS extension by including it as:
              "filename.fits[X]", where X is the HDU number.

       minrange maxrange
              Lower/upper pixel values to use when stretching the image.  Can also be expressed as a percentage,
              a sigma value, or any combination of these three.  Some examples:

              0 100 0s 99.999% -1s 1s

       logpower/gaussian
              Specify a log power to use in stretching the image.  Can be a positive integer or one of:

              log loglog linear (default)

       -out out.jpg
              Path to the output JPEG image

RESULT

       The output message includes stretch information from the creation of the JPEG:

       Psuedo-color (gray input only):

       [struct stat="OK", min=datamin, minpercent=minfrac, max=datamax, maxpercent=maxfrac]

       Three-color (red/green/blue inputs):

       [struct   stat="OK",   bmin=bdatamin,    bminpercent=bminfrac,    bmax=bdatamax,    bmaxpercent=bmaxfrac,
       gmin=gdatamin,      gminpercent=gminfrac,     gmax=gdatamax,     gmaxpercent=gmaxfrac,     rmin=rdatamin,
       rminpercent=rminfrac, rmax=rdatamax, rmaxpercent=rmaxfrac]

EXAMPLES

       To create a grayscale image from a FITS file:

       $ mJPEG -ct 1 -gray SINGS_B.fits 0s 99.999% gaussian -out SINGS_B.jpg
              [struct stat="OK", min=0.391706, minpercent=50.00, max=136.555, maxpercent=100.00]

       Output grayscale JPEG:

       To create a true 3-color image from three input images:

       $ mJPEG -t 2 -blue SINGS_B.fits 0s 99.999% gaussian

              -green SINGS_R.fits 0s 99.999% gaussian

              -red SINGS_I.fits 0s 99.999% gaussian

              -out  SINGS_3color.jpg  [struct   stat="OK",   bmin=0.391706,   bminpercent=50.00,   bmax=136.555,
              bmaxpercent=100.00,    gmin=2.98851,    gminpercent=50.00,    gmax=366.148,    gmaxpercent=100.00,
              rmin=4.26902, rminpercent=50.00, rmax=295.179, rmaxpercent=100.00]

BUGS

       The drizzle algorithm has been implemented but has not been tested in this release.

       If a header template contains carriage returns (i.e., created/modified on a Windows machine), the cfitsio
       library will be unable to read it properly, resulting in the  error:  [struct  stat="ERROR",  status=207,
       msg="illegal character in keyword"]

       It  is  best  for  the  background  correction  algorithms  if  the area described in the header template
       completely encloses all of the input images in their entirety. If parts of input images are "chopped off"
       by the header template, the background correction will be affected. We  recommend  you  use  an  expanded
       header  for  the  reprojection  and background modeling steps, returning to the originally desired header
       size for the final coaddition. The default background matching  assumes  that  there  are  no  non-linear
       background  variations  in  the individual images (and therefore in the overlap differences). If there is
       any uncertainty in this regard, it is safer to turn on the "level only"  background  matching  (the  "-l"
       flag in mBgModel.

COPYRIGHT

       2001-2015 California Institute of Technology, Pasadena, California

       If  your  research uses Montage, please include the following acknowledgement: "This research made use of
       Montage. It is funded by the  National  Science  Foundation  under  Grant  Number  ACI-1440620,  and  was
       previously funded by the National Aeronautics and Space Administration's Earth Science Technology Office,
       Computation  Technologies  Project,  under  Cooperative  Agreement  Number  NCC5-626 between NASA and the
       California Institute of Technology."

       The Montage distribution includes an adaptation of the MOPEX algorithm developed at the  Spitzer  Science
       Center.

Montage 5                                           Dec 2016                                            MJPEG(1)